Senior Data Scientist

INNOWAVE TECH PTE. LTD.; Singapore; Vor Ort; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

Innowave Tech Singapore seeks a highly skilled Data Scientist to leverage AI/ML and advanced analytics for manufacturing data. You will own the full data science lifecycle from raw data to deployed models, working with engineers and domain experts to turn complex problems into measurable AI-driven improvements.

You will apply varied ML techniques, build robust pipelines, and communicate insights to technical and non-technical stakeholders, contributing to product development and operational

Qualifikationen

• Minimum 5 years of relevant industry experience in data science or applied machine learning (or 3+ years with a PhD).
• Ability to take projects from problem formulation to solution deployment.
• Proven ability to work with domain experts and turn ambiguous requirements into structured models.
• Hands-on experience in data wrangling, cleaning, and validation.
• Strong programming skills in Python and familiarity with relevant data/ML libraries.
• Proficiency in a wide range of ML techniques (supervised, unsupervised, classical and modern AI).
• Experience with startup environments or fast-paced cross-functional teams.

Aufgaben

• Translate business challenges into data science solutions in collaboration with domain experts.
• Evaluate and select approaches based on data availability and performance constraints.
• Independently source, clean, and validate data for analysis and modeling.
• Build, test, and deploy machine learning models with awareness of assumptions and trade-offs.
• Communicate findings clearly to technical and non-technical stakeholders.
• Design and implement robust, scalable data processing and model inference pipelines.

Kenntnisse

Data science experience

Problem formulation

Data wrangling

Python programming

ML techniques

Cross-functional teamwork

Startup environment

Domain expert collaboration

Ausbildung

Bachelor's or Master's in Data Science, Statistics, CS, OR, Applied Mathematics, Engineering

Tools

Python

ML libraries (scikit-learn, TensorFlow, PyTorch)

Jobbeschreibung

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. We are an agile, innovation-driven company operating at the intersection of advanced manufacturing and AI.

We collaborate closely with domain experts to solve real-world challenges using cutting-edge data science. If you are passionate about turning complex technical problems into tangible impact, we want to hear from you.

Roles & Responsibilities

We are seeking a highly skilled Data Scientist with expertise in data analytics, insight generation, and optimization for manufacturing data. The ideal candidate will leverage AI/ML, optimization algorithms, and various advanced analytics techniques to drive operational efficiency and process improvements.

Your Role and Impact

• As a Data Scientist, you will be at the forefront of transforming complex domain challenges into impactful AI-driven solutions.
• You will work side-by-side with engineers, domain experts, and stakeholders to uncover opportunities, shape problem statements, and apply the right data science approaches to solve real-world problems.
• You will own the full data science lifecycle, from understanding raw data to deploying robust models, while balancing scientific rigor with practical implementation.
• Your ability to independently explore data, assess quality, and deliver insights will directly influence decision-making and product development.
• Your work will not be isolated to experimentation. You will contribute to solutions and product developments that bridge the gap between theory and implementation. Whether it is predicting equipment health, predicting manufacturing yield, or optimizing processes, your contributions will drive measurable impact in a fast-moving, innovation-driven environment.

What You'll Do

1. Work closely with domain experts to understand business challenges, formulate problem statements, and translate them into data science solutions.
2. Evaluate and select appropriate approaches based on problem context, data availability, and performance constraints.
3. Independently source, clean, and validate data for analysis and modeling, ensuring data quality, consistency, and reliability.
4. Build, test, and deploy machine learning models with an awareness of model assumptions, limitations, and trade-offs.
5. Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
6. Contribute to the design and implementation of robust, scalable pipelines for data processing and model inference.

Educational Background

• Bachelor's, or Master's degree in Data Science, Statistics, Computer Science, Operations Research, Applied Mathematics, Engineering, or a related field.

• Only Singaporean or Singapore PR can apply due to project requirement.

Technical Skills

Must-haves

• Minimum 5 years of relevant industry experience in data science or applied machine learning (or 3+ years with a PhD).
• Proven ability to take projects from problem formulation to solution deployment.
• Proven ability to work with domain experts and turn ambiguous requirements into structured models.
• Hands-on experience in data wrangling, cleaning, and validation.
• Strong programming skills in Python and familiarity with relevant data/ML libraries.
• Proficiency in a wide range of ML techniques (supervised, unsupervised, classical and modern AI) and understanding of model assumptions, limitations, and trade-offs.
• Familiarity with startup environments or fast-paced cross-functional teams.

Nice-to-haves

• Experience with sensor data, time series analysis, or signal processing.
• Exposure to optimization algorithms, such as genetic algorithms or Bayesian optimization.
• Exposure to statistical analysis and statistical modeling techniques.
• Exposure to Retrieval-Augmented Generation (RAG) and Agentic AI.
• Background working with semiconductor data or in high-tech manufacturing domains.

Soft Skills

• Ability to work in cross-functional teams and communicate effectively.
• Strong problem-solving mindset and attention to detail.
• Independent and self-motivated learner who quickly adapts to new domains and technologies.